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Remote Ai Mathematics Jobs (NOW HIRING)

VeeRteq Solutions Inc.

Gen AI Engineer

New York, NY · Remote

Remote What is in it for you? As a Gen AI Engineer , you will design, develop, and maintain ... S. with at least three years of relevant research experience) in Statistics, Applied Mathematics or ...

BlackSky

Staff Engineer, AI

Herndon, VA · On-site +1

Experience working with remote sensing imagery including geometry, radiometric normalization ... D. in CS/EE/math/statistics or a related quantitative field. * At least 2 years of experience ...

Gurobi Optimization

Senior AI Engineer (USA - Remote)

$107K - $146K/yr

A mission that focuses on mathematical optimization. We empower our customers to expand their use ... As a Senior AI Engineer at Gurobi Optimization, you will have the technical depth, rigor and ...

Weekday AI

Advanced Research Specialist (STEM PhD)

$50 - $80/hr

Collaborate in a remote, asynchronous environment while adhering to structured guidelines Who You ... Mathematics, Biology, Chemistry, Physics, Computer Science, Statistics, Economics) * Strong ...

RAND Corporation

Associate AI Security Resident

OR · On-site +1

Graduate of the Computer Network Operations Development Program (CNODP), Remote Interactive ... Mathematics, Applied Mathematics, Physics, Applied Physics, Engineering Physics, Artificial ...

galore staffing

... interest in mathematics and statistics. - Excellent communication and interpersonal skills ... hours and remote work options. Employer Details Galore Creative Staffing offers competitive ...

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Remote Ai Mathematics information

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$21K

$52.5K

$100.5K

How much do remote ai mathematics jobs pay per year?

As of Jun 8, 2026, the average yearly pay for remote ai mathematics in the United States is $52,480.00, according to ZipRecruiter salary data. Most workers in this role earn between $42,000.00 and $56,000.00 per year, depending on experience, location, and employer.

How does a Remote AI Mathematics professional typically collaborate with cross-functional teams?

Remote AI Mathematics professionals frequently work alongside data scientists, software engineers, and domain experts to develop, test, and implement mathematical models and algorithms. Collaboration is usually facilitated through virtual meetings, project management tools, and shared code repositories. Clear communication and documentation are essential, as team members may be distributed across different time zones and disciplines. This collaborative environment fosters innovation and allows professionals to continuously learn from colleagues with diverse expertise.

What are Remote AI Mathematics jobs?

Remote AI Mathematics jobs involve using mathematical theories, techniques, and computational methods to develop, analyze, and improve artificial intelligence algorithms, all while working from a remote location. Professionals in this field may solve complex mathematical problems, create models for machine learning, optimize algorithms, or interpret data to inform AI solutions. These roles require strong mathematical skills, programming knowledge, and familiarity with AI concepts, and they allow individuals to collaborate with teams or clients from anywhere in the world.

What is the difference between Remote Ai Mathematics vs Data Scientist?

AspectRemote Ai MathematicsData Scientist
Required CredentialsAdvanced degrees in Mathematics, Computer Science, or related fields; knowledge of AI/ML frameworksDegree in Statistics, Computer Science, or related fields; proficiency in data analysis tools
Work EnvironmentRemote, often project-based, focused on AI/ML model developmentRemote or on-site, analyzing data, creating reports, and building predictive models
Industry UsagePrimarily in AI/ML research, tech companies, and AI-focused startupsAcross industries like finance, healthcare, marketing, and tech

Remote Ai Mathematics specialists focus on developing AI algorithms and models, requiring advanced math skills and AI expertise. Data Scientists analyze data to extract insights, often using statistical and programming skills. While both roles may work remotely and require similar educational backgrounds, their core responsibilities differ: AI Mathematics centers on algorithm development, whereas Data Science emphasizes data analysis and interpretation.

What are the key skills and qualifications needed to thrive as a Remote AI Mathematics Specialist, and why are they important?

To excel as a Remote AI Mathematics Specialist, you need a strong background in mathematics, statistics, and computer science, typically supported by a relevant degree or advanced coursework. Familiarity with programming languages such as Python, machine learning frameworks like TensorFlow or PyTorch, and experience with data analysis tools are essential. Critical thinking, problem-solving, and effective remote communication set standout professionals apart in this role. These skills are crucial for developing accurate AI models, collaborating virtually with teams, and delivering innovative mathematical solutions.
Infographic showing various Remote Ai Mathematics job openings in the United States as of May 2026, with employment types broken down into 74% Full Time, 13% Part Time, and 13% Contract. Highlights an 100% Remote job distribution, with an average salary of $52,480 per year, or $25.2 per hour.

Gen AI Engineer

VeeRteq Solutions Inc.

New York, NY • Remote

Contractor

Posted 24 days ago

Job description

Gen AI Engineer

Experience:
6+ Years

Location:
Remote

What is in it for you?

As a Gen AI Engineer, you will design, develop, and maintain Generative AI solutions that drive intelligent automation and advanced data processing.

Responsibilities:-

  • Must have 4–6 years in applying Machine Learning and Predictive Modeling to maximize outcomes or identify best approaches.

  • Must have deep expertise with Generative AI and Agentic AI.

  • Healthcare/health services sector experience preferred.

  • Extended work experience in software development and collaboration across teams.

  • Possess a passion for developing methods to discover solutions using large data sets and working with stakeholders to improve business outcomes.

  • Possess a drive to learn and master new technologies and techniques.

  • Advanced proficiency in Python & PyTorch to manipulate large datasets, train or evaluate AI/ML models.

  • Experience designing, conducting, analyzing, and interpreting experiments and investigations.

  • Strong problem solving, critical thinking, creativity, organizational, design, interpersonal, and communication (written, verbal, and listening) skills.

  • Fluent in English (both verbal and written).

  • Ability to work with a wide range of stakeholders, functional teams, and all levels of engineers.

  • Confirmed ability to handle multiple projects with strict deadlines.

Educational Qualifications:-

  • Advanced degree (Ph.D. or M.S. with at least three years of relevant research experience) in Statistics, Applied Mathematics or Data Science, Computer Science, or a related field.

  • Technical certification in multiple technologies is desirable.

Mandatory Skills:-

  • Search – retrieval, vector DB, RAG

  • Data extraction/parsing – OCR, GenAI-based data extraction from unstructured documents (PDFs, PNGs, texts, etc.)

  • Model/Agent evaluation frameworks – Text2SQL evaluation, RAG evaluation